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Huawei H13-311 Exam Syllabus Topics:

SectionObjectives
Topic 1: AI Development and Huawei AI Ecosystem- Data processing and AI pipeline
  • 1. Data preprocessing and feature engineering
    • 2. Model evaluation and optimization basics
      - Huawei AI platform and tools
      • 1. Model training and deployment workflow
        • 2. MindSpore framework overview
          Topic 2: Machine Learning Basics- Unsupervised learning
          • 1. Dimensionality reduction
            • 2. Clustering algorithms
              - Supervised learning
              • 1. Regression models
                • 2. Classification models
                  Topic 3: Artificial Intelligence Fundamentals- Mathematics for AI
                  • 1. Linear algebra basics
                    • 2. Probability and statistics fundamentals
                      - AI concepts and basic principles
                      • 1. AI application scenarios and industry overview
                        • 2. Definition of AI and key terminology
                          Topic 4: Deep Learning Fundamentals- Neural networks
                          • 1. Perceptron and multilayer networks
                            • 2. Activation functions and backpropagation
                              - Common deep learning models
                              • 1. CNN basics for computer vision
                                • 2. RNN basics for sequence modeling

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